UNET Quantization

UNET Quantization is a quantization technique tailored for the UNET architecture, aiming to optimize performance in computer vision tasks by reducing the bit width of model parameters while maintaining model accuracy. This technology is primarily applied in fields such as medical image analysis and remote sensing image processing, significantly lowering the model's storage and computational requirements, thereby enhancing deployment efficiency and real-time performance.